Shared by:neuro
by C. R. Gallistel (Author), Adam Philip King (Author)
Key Phrases: computationally accessible form, caching phases, activity bump, The Modularity of Learning, Data Structures, The Nature of Learning
Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field can and should benefit from the recent advances of cognitive science and the development of information theory over the course of the last several decades.
A provocative argument that impacts across the fields of linguistics, cognitive science, and neuroscience, suggesting new perspectives on learning mechanisms in the brain
Proposes that the field of neuroscience can and should benefit from the recent advances of cognitive science and the development of information theory
Suggests that the architecture of the brain is structured precisely for learning and for memory, and integrates the concept of an addressable read/write memory mechanism into the foundations of neuroscience
Based on lectures in the prestigious Blackwell-Maryland Lectures in Language and Cognition, and now significantly reworked and expanded to make it ideal for students and faculty
336 pages
Publisher: Wiley-Blackwell (May 11, 2009)
Language: English
ISBN-10: 1405122870
ISBN-13: 978-1405122870
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